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» Approximation algorithms for stochastic orienteering
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SIAMCO
2000
71views more  SIAMCO 2000»
13 years 8 months ago
On a Perturbation Approach for the Analysis of Stochastic Tracking Algorithms
In this paper, a perturbation expansion technique is introduced to decompose the tracking error of a general adaptive tracking algorithm in a linear regression model. This method ...
Rafik Aguech, Eric Moulines, Pierre Priouret
AMC
2008
86views more  AMC 2008»
13 years 8 months ago
Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for...
Muneomi Sagara, Hiroaki Mukaidani, Toru Yamamoto
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 7 months ago
When LP is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
Abstract Consider a random graph model where each possible edge e is present independently with some probability pe. Given these probabilities, we want to build a large/heavy match...
Nikhil Bansal, Anupam Gupta, Jian Li, Juliá...
WSC
2008
13 years 11 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
ICALP
2004
Springer
14 years 2 months ago
The Minimum-Entropy Set Cover Problem
We study graph orientations that minimize the entropy of the in-degree sequence. The problem of finding such an orientation is an interesting special case of the minimum entropy ...
Eran Halperin, Richard M. Karp