On the Evaluation Complexity of Cubic Regularization Methods for Potentially Rank-Deficient Nonlinear Least-Squares Problems and Its Relevance to Constrained Nonlinear Optimization

标题
On the Evaluation Complexity of Cubic Regularization Methods for Potentially Rank-Deficient Nonlinear Least-Squares Problems and Its Relevance to Constrained Nonlinear Optimization
作者
关键词
-
出版物
SIAM JOURNAL ON OPTIMIZATION
Volume 23, Issue 3, Pages 1553-1574
出版商
Society for Industrial & Applied Mathematics (SIAM)
发表日期
2013-08-01
DOI
10.1137/120869687

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