Title :
One Newton-type method for the regularization of nonlinear ill-posed problems
Author_Institution :
Sch. of Math. & Stat., Zhejiang Univ. Of Finance & Econ., Hangzhou, China
Abstract :
In this paper we consider a combination of Newton´s method with simplified Newton iteration for regularizing a nonlinear ill-posed operator equation. We show that under certain smoothness conditions on the nonlinear operator the method converge locally. For perturbed data we propose an a priori stopping rule which guarantees convergence of the iteration to a solution as the noise level goes to zero. Under appropriate closeness and smoothness assumptions on the starting value and the solution, we obtain convergence rates.
Keywords :
Newton method; nonlinear equations; Newton iteration; Newton-type method; nonlinear ill-posed operator equation; nonlinear ill-posed problems; smoothness condition; Approximation methods; Convergence; Equations; Inverse problems; Iterative methods; Partial differential equations; convergence rate; nonlinear ill-posed problem; simplified Newton iteration;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002227