On the Evaluation Complexity of Cubic Regularization Methods for Potentially Rank-Deficient Nonlinear Least-Squares Problems and Its Relevance to Constrained Nonlinear Optimization (2013)
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