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Abstract
A new semi-local convergence analysis of the Gauss-Newton method for solving convex composite optimization problems is presented using restricted convergence domains. The results extend the applicability of the Gauss-Newton method under the same computational cost as in earlier studies. In particular, the advantages are: the error estimates on the distances involved are tighter and the convergence ball is at least as large. Numerical examples are also provided in this study.
How to Cite this Article:
Ioannis K. Argyros, Santhosh George, Local convergence analysis of inexact Gauss-Newton method for singular systems of equations under restricted convergence domains, Journal of Nonlinear Functional Analysis 2016 (2016), Article ID 32.