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» Introduction to Randomized Algorithms
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EOR
2010
88views more  EOR 2010»
15 years 6 months ago
Mathematical programming approaches for generating p-efficient points
Abstract: Probabilistically constrained problems, in which the random variables are finitely distributed, are nonconvex in general and hard to solve. The p-efficiency concept has b...
Miguel A. Lejeune, Nilay Noyan
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
15 years 4 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
TOMACS
2011
139views more  TOMACS 2011»
15 years 1 months ago
The double CFTP method
We consider the problem of the exact simulation of random variables Z that satisfy the distributional identity Z L = V Y + (1 − V )Z, where V ∈ [0, 1] and Y are independent, an...
Luc Devroye, Lancelot F. James
STACS
2009
Springer
16 years 1 months ago
On Approximating Multi-Criteria TSP
Abstract. We present approximation algorithms for almost all variants of the multicriteria traveling salesman problem (TSP), whose performances are independent of the number k of c...
Bodo Manthey
INFOCOM
2007
IEEE
16 years 29 days ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang