| Article ID: | iaor20001840 |
| Country: | France |
| Volume: | 31 |
| Issue: | 3 |
| Start Page Number: | 269 |
| End Page Number: | 294 |
| Publication Date: | Jan 1997 |
| Journal: | RAIRO Operations Research |
| Authors: | Martinez J.-M., Santos S.-A. |
The constrained least-squares regularization of nonlinear ill-posed problems is a nonlinear programming problem for which trust-region methods have been developed. In this paper we complement the convergence theory of one of those methods showing that, under suitable hypotheses, local (superlinear or quadratic) convergence holds and every accumulation point is second-order stationary.