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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.

Coralia CartisNicholas I. M. GouldPhilippe L. Toint
Published in: SIAM J. Optim. (2013)
Keyphrases
  • nonlinear optimization
  • regularization methods
  • computer vision
  • neural network
  • image restoration