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    TSP
    2010
    421views Artificial Intelligence» more  TSP 2010»
    Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
    13 years 3 months ago
    Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
    Download  ae-www.technion.ac.il
    We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
    Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
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    MP
    2006
    80views more  MP 2006»
    Minimizing Polynomials via Sum of Squares over the Gradient Ideal
    13 years 8 months ago
    Minimizing Polynomials via Sum of Squares over the Gradient Ideal
    Download  math.ucsd.edu
    A method is proposed for finding the global minimum of a multivariate polynomial via sum of squares (SOS) relaxation over its gradient variety. That variety consists of all points ...
    Jiawang Nie, James Demmel, Bernd Sturmfels
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    SIAMSC
    2008
    179views more  SIAMSC 2008»
    Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
    13 years 8 months ago
    Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
    Download  www.seas.upenn.edu
    Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
    Santi S. Adavani, George Biros
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    ICRA
    2006
    IEEE
    93views Robotics» more  ICRA 2006»
    A SVM-based Method for Engine Maintenance Strategy Optimization
    14 years 2 months ago
    A SVM-based Method for Engine Maintenance Strategy Optimization
    Download  www.cfins.au.tsinghua.edu.cn
    — Due to the abundant application background, the optimization of maintenance problem has been extensively studied in the past decades. Besides the well-known difficulty of larg...
    Qing-Shan Jia, Qianchuan Zhao
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    ASPDAC
    2000
    ACM
    154views Hardware» more  ASPDAC 2000»
    Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
    14 years 25 days ago
    Dynamic weighting Monte Carlo for constrained floorplan designs in mixed signal application
    Download  biosun1.harvard.edu
    Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
    Jason Cong, Tianming Kong, Faming Liang, Jun S. Li...
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