-

 

 

 




Optimization Online





 

Improved worst-case evaluation complexity for potentially rank-deficient nonlinear least-Euclidean-norm problems using higher-order regularized models

Coralia Cartis(cartis***at***maths.ox.ac.uk)
Nicholas I M Gould(nick.gould***at***stfc.ac.uk)
Philippe L Toint(phtoint***at***fundp.ac.be)

Abstract: We present an improved evaluation complexity bound for nonlinear least squares problems using higher order regularization methods.

Keywords:

Category 1: Nonlinear Optimization

Citation: Technical Report NA 15-17, Numerical Analysis Group, University of Oxford, 2015

Download: [PDF]

Entry Submitted: 11/19/2015
Entry Accepted: 11/19/2015
Entry Last Modified: 11/19/2015

Modify/Update this entry


  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository

 

Submit
Update
Policies
Coordinator's Board
Classification Scheme
Credits
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Optimization Society