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    HYBRID
    2009
    Springer
    204views Control Systems» more  HYBRID 2009»
    Convergence of Distributed WSN Algorithms: The Wake-Up Scattering Problem
    14 years 2 months ago
    Convergence of Distributed WSN Algorithms: The Wake-Up Scattering Problem
    Download  www.dit.unitn.it
    In this paper, we analyze the problem of finding a periodic schedule for the wake-up times of a set of nodes in a Wireless Sensor Network that optimizes the coverage of the region...
    Daniele Fontanelli, Luigi Palopoli, Roberto Passer...
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    MP
    2007
    102views more  MP 2007»
    Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties
    13 years 6 months ago
    Elastic-mode algorithms for mathematical programs with equilibrium constraints: global convergence and stationarity properties
    Download  www.optimization-online.org
    The elastic-mode formulation of the problem of minimizing a nonlinear function subject to equilibrium constraints has appealing local properties in that, for a finite value of the...
    Mihai Anitescu, Paul Tseng, Stephen J. Wright
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    ICML
    2003
    IEEE
    156views Machine Learning» more  ICML 2003»
    AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
    14 years 8 months ago
    AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
    Download  www-2.cs.cmu.edu
    A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
    Vincent Conitzer, Tuomas Sandholm
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    SIAMMA
    2011
    97views more  SIAMMA 2011»
    Convergence Rates for Greedy Algorithms in Reduced Basis Methods
    12 years 10 months ago
    Convergence Rates for Greedy Algorithms in Reduced Basis Methods
    Download  www.igpm.rwth-aachen.de
    The reduced basis method was introduced for the accurate online evaluation of solutions to a parameter dependent family of elliptic partial differential equations. ly, it can be ...
    Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald...
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    FOCM
    2011
    175views more  FOCM 2011»
    Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
    13 years 2 months ago
    Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization
    Download  www.columbia.edu
    The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding etc. As this problem is NP-hard in ...
    Donald Goldfarb, Shiqian Ma
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