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Showing 1 to 3 of 3 for “"Polynomial convergence"”.

  1. Adaptive Functional Data Analysis

    … local linear manifold smoothing that achieves a polynomial convergence rate and adapts to the intrinsic data geometry even when functional data are observed intermittently and contaminated by noise, in contrast to the logarithm rate in nonparametric functional regression literature. We …

    toronto-retro Repository record for Adaptive Functional Data Analysis (opens in a new tab)

  2. Full-Newton-Step Interior-Point Method for the Linear Complementarity Problems

    … path, hence, still guaranteeing the global convergence of the method under strict feasibility assumption. The number of iterations necessary to find 2-approximate solution of the problem matches the best known iteration bounds for these types of methods. The preliminary implementation of the …

    gsu Repository record for Full-Newton-Step Interior-Point Method for the Linear Complementarity Problems (opens in a new tab)

  3. Infeasible Full-Newton-Step Interior-Point Method for the Linear Complementarity Problems

    … path, hence, still guaranteeing the global convergence of the method under strict feasibility assumption. The number of iterations necessary to find -approximate solution of the problem matches the best known iteration bounds for these types of methods. The preliminary implementation of the …

    gsu Repository record for Infeasible Full-Newton-Step Interior-Point Method for the Linear Complementarity Problems (opens in a new tab)