Improved worst-case evaluation complexity for potentially rank-deficient nonlinear least-Euclidean-norm problems using higher-order regularized models

  • Coralia Cartis
  • Nicholas I. M. Gould
  • Philippe L. Toint
    • Categories Nonlinear Optimization Short URL: https://optimization-online.org/?p=13723

    We present an improved evaluation complexity bound for nonlinear least squares problems using higher order regularization methods.

    Citation

    Technical Report NA 15-17, Numerical Analysis Group, University of Oxford, 2015

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