• DocumentCode
    3033200
  • Title

    One Newton-type method for the regularization of nonlinear ill-posed problems

  • Author

    Meng, Zehong

  • Author_Institution
    Sch. of Math. & Stat., Zhejiang Univ. Of Finance & Econ., Hangzhou, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    5953
  • Lastpage
    5956
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002227
  • Filename
    6002227