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FOCS
2004
IEEE
15 years 10 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
JCO
2008
85views more  JCO 2008»
15 years 6 months ago
Locating and detecting arrays for interaction faults
The identification of interaction faults in component-based systems has focussed on indicating the presence of faults, rather than their location and magnitude. While this is a va...
Charles J. Colbourn, Daniel W. McClary
TOC
2008
122views more  TOC 2008»
15 years 6 months ago
Derandomizing the Ahlswede-Winter matrix-valued Chernoff bound using pessimistic estimators, and applications
: Ahlswede and Winter [IEEE Trans. Inf. Th. 2002] introduced a Chernoff bound for matrix-valued random variables, which is a non-trivial generalization of the usual Chernoff bound ...
Avi Wigderson, David Xiao
COMPGEOM
2006
ACM
16 years 16 days ago
Minimum-cost coverage of point sets by disks
We consider a class of geometric facility location problems in which the goal is to determine a set X of disks given by their centers (tj) and radii (rj) that cover a given set of...
Helmut Alt, Esther M. Arkin, Hervé Brö...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
16 years 21 days ago
Optimal antenna placement using a new multi-objective chc algorithm
Radio network design (RND) is a fundamental problem in cellular networks for telecommunications. In these networks, the terrain must be covered by a set of base stations (or anten...
Antonio J. Nebro, Enrique Alba, Guillermo Molina, ...