Title
Local convergence analysis of inexact Gauss-Newton like methods under majorant condition
Abstract
In this paper, we present a local convergence analysis of inexact Gauss-Newton like methods for solving nonlinear least squares problems. Under the hypothesis that the derivative of the function associated with the least squares problem satisfies a majorant condition, we obtain that the method is well-defined and converges. Our analysis provides a clear relationship between the majorant function and the function associated with the least squares problem. It also allows us to obtain an estimate of convergence ball for inexact Gauss-Newton like methods and some important, special cases.
Year
DOI
Venue
2012
10.1016/j.cam.2011.12.008
J. Computational Applied Mathematics
Keywords
Field
DocType
special case,majorant function,inexact gauss-newton,majorant condition,local convergence analysis,squares problem,clear relationship,convergence ball,nonlinear equation,local convergence,nonlinear least squares,satisfiability,lipschitz continuity,numerical analysis
Least squares,Convergence (routing),Gauss,Mathematical optimization,Mathematical analysis,Generalized least squares,Local convergence,Non-linear least squares,Total least squares,Recursive least squares filter,Mathematics
Journal
Volume
Issue
ISSN
236
9
0377-0427
Citations 
PageRank 
References 
6
0.50
13
Authors
3
Name
Order
Citations
PageRank
O. P. Ferreira1171.37
M. L. N. Gonçalves2455.93
P. R. Oliveira360.84