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On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization - MaRDI portal

On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization (Q2866197)

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scientific article; zbMATH DE number 6238050
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English
On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization
scientific article; zbMATH DE number 6238050

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    13 December 2013
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    evaluation complexity
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    worst-case analysis
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    least-squares problems
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    constrained nonlinear optimization
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    cubic regularization methods
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    On the evaluation complexity of cubic regularization methods for potentially rank-deficient nonlinear least-squares problems and its relevance to constrained nonlinear optimization (English)
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