Otmar Scherzer,
"An adaptive strategy for updating the damping parameters in an iteratively regularized Gauss-Newton method"
, in Journal of Optimization Theory and Applications, 1999, O. Scherzer and M. Gullikson, An adaptive strategy for updating the damping parameters in an iteratively regularized Gauss-Newton method, J. of Opt. Theory and Appl. (1999), to appear
Original Titel:
An adaptive strategy for updating the damping parameters in an iteratively regularized Gauss-Newton method
Sprache des Titels:
Englisch
Englische Kurzfassung:
In this paper a convergence analysis of an adaptive choice of the sequence of damping parameters in the iteratively regularized Gauss-Newton technique for solving nonlinear ill-posed operator equations is proposed. The selection criterion is motivated from parameter choice criteria, which are used for the efficient solution of nonlinear least-squares problems. The performance of this selection criterion is tested at nonlinear ill-posed model problems.
Journal:
Journal of Optimization Theory and Applications
Erscheinungsjahr:
1999
Notiz zum Zitat:
O. Scherzer and M. Gullikson, An adaptive strategy for updating the damping parameters in an iteratively regularized Gauss-Newton method, J. of Opt. Theory and Appl. (1999), to appear
Publikationstyp:
Aufsatz / Paper in sonstiger referierter Fachzeitschrift