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

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

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

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