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» Approximation algorithms for stochastic orienteering
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SIAMCO
2000
71views more  SIAMCO 2000»
15 years 4 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»
15 years 4 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»
15 years 3 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
15 years 6 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
15 years 9 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