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    ICML
    2000
    IEEE
    169views Machine Learning» more  ICML 2000»
    Rates of Convergence for Variable Resolution Schemes in Optimal Control
    14 years 8 months ago
    Rates of Convergence for Variable Resolution Schemes in Optimal Control
    Download  sequel.futurs.inria.fr
    This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
    Andrew W. Moore, Rémi Munos
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    CEC
    2009
    IEEE
    111views Artificial Intelligence» more  CEC 2009»
    A simple multi-objective optimization algorithm for the urban transit routing problem
    13 years 11 months ago
    A simple multi-objective optimization algorithm for the urban transit routing problem
    Download  users.cs.cf.ac.uk
    — The urban transit routing problem (UTRP) for public transport systems involves finding a set of efficient transit routes to meet customer demands. The UTRP is an NPHard, high...
    Lang Fan, Christine L. Mumford, Dafydd Evans
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    MOC
    2000
    76views more  MOC 2000»
    Optimal approximation of stochastic differential equations by adaptive step-size control
    13 years 7 months ago
    Optimal approximation of stochastic differential equations by adaptive step-size control
    Download  www.ams.org
    We study the pathwise (strong) approximation of scalar stochastic differential equations with respect to the global error in the L2-norm. For equations with additive noise we estab...
    Norbert Hofmann, Thomas Müller-Gronbach, Klau...
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    INFOCOM
    2005
    IEEE
    134views Communications» more  INFOCOM 2005»
    Fairness and optimal stochastic control for heterogeneous networks
    14 years 1 months ago
    Fairness and optimal stochastic control for heterogeneous networks
    Download  www-rcf.usc.edu
    — We consider optimal control for general networks with both wireless and wireline components and time varying channels. A dynamic strategy is developed to support all traffic w...
    Michael J. Neely, Eytan Modiano, Chih-Ping Li
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    APPROX
    2006
    Springer
    114views Algorithms» more  APPROX 2006»
    Stochastic Combinatorial Optimization with Controllable Risk Aversion Level
    13 years 11 months ago
    Stochastic Combinatorial Optimization with Controllable Risk Aversion Level
    Download  www.stanford.edu
    Anthony Man-Cho So, Jiawei Zhang, Yinyu Ye
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