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FOCS
2004
IEEE
13 years 11 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
CF
2005
ACM
13 years 9 months ago
Owl: next generation system monitoring
As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event ...
Martin Schulz, Brian S. White, Sally A. McKee, Hsi...
COCOA
2008
Springer
13 years 9 months ago
New Algorithms for k-Center and Extensions
The problem of interest is covering a given point set with homothetic copies of several convex containers C1,...,Ck, while the objective is to minimize the maximum over the dilatat...
René Brandenberg, Lucia Roth
SETP
2007
13 years 9 months ago
Dimensional Inference Using Symbol Lives
Scientific equations embedded in computer programs must obey the rules for dimensional consistency. Many efforts have been made to enforce these rules within computer programs. So...
Brian Farrimond, John Collins
WSC
1997
13 years 8 months ago
Panel on Transportation and Logistics Modeling
Transportation and logistics are fertile areas for modeling. Simulation has traditionally been used in warehousing and inside the distribution center or processing hub in the truc...
John S. Carson II, Mani S. Manivannan, Mark K. Bra...