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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 (2013)

First Author: Cartis C

Attributed to: Algorithms and Software for Large-Scale Sparse or Structured Systems funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1137/120869687

Publication URI: http://dx.doi.org/10.1137/120869687

Type: Journal Article/Review

Parent Publication: SIAM Journal on Optimization

Issue: 3