Skip to main content
Log in

An apriori parameter choice strategy and a fifth order iterative scheme for Lavrentiev regularization method

  • Original Research
  • Published:
Journal of Applied Mathematics and Computing Aims and scope Submit manuscript

Abstract

In this paper, we propose a new source condition and introduce a new apriori parameter choice strategy for Lavrentiev regularization method for nonlinear ill-posed operator equation involving a monotone operator in the setting of a Hilbert space. Also, a fifth order iterative method is being proposed for approximately solving Lavrentiev regularized equation. A numerical example is illustrated to demonstrate the performance of the method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. De Hoog, F.R.: Review of Fredholm equations of the first kind. In: Anderssen, R.S., De Hoog, F.R., Luckas, M.A. (eds.) The Application and Numerical Solution of Integral Equations, pp. 119–134. Sijthoff and Noordhoff, Leiden (1980)

    Chapter  Google Scholar 

  2. George, S.: On convergence of regularized modified Newton’s method for nonlinear ill-posed problems. J. Inv. Ill-Posed Probl. 18(2), 133–146 (2010)

    MATH  Google Scholar 

  3. George, S., Elmahdy, A.I.: A quadratic convergence yielding iterative method for nonlinear ill-posed operator equations. Comput. Methods Appl. Math. 12(1), 32–45 (2012)

    Article  MATH  Google Scholar 

  4. George, S., Nair, M.T.: An a posteriori parameter choice for simplified regularization of ill-posed problems. Inter. Equ. Oper. Theory 16, 392–399 (1993)

    Article  MATH  Google Scholar 

  5. George, S., Nair, M.T.: A derivative-free iterative method for nonlinear ill-posed equations with monotone operators. J. Inv. Ill-Posed Probl. 25(5), 543–551 (2017)

    Article  MATH  Google Scholar 

  6. George, S., Jidesh, P., Krishnendu, R., Argyros, I.K.: A new parameter choice strategy for Lavrentiev regularization method for nonlinear ill-posed equations, Mathematics (To appear).

  7. Groetsch, C.W.: Inverse problems in the Mathematical Sciences. Vieweg, Braunschweig (1993)

  8. Hofmann, B., Scherzer, O.: Factors influencing the ill-posedness of nonlinear inverse problems. Inverse Probl. 10, 1277–1297 (1994)

    Article  MATH  Google Scholar 

  9. Kelley, C.T.: Iterative Methods for linear and nonlinear Equations. SIAM, Philadelphia (1995)

    Book  MATH  Google Scholar 

  10. Krasnoselskii, M.A., Zabreiko, P.P., Pustylnik, E.I., Sobolevskii, P.E.: Integral Operators in Spaces of Summable Functions. Noordhoff International Publisher, Leyden (1976)

    Book  Google Scholar 

  11. Mahale, P., Nair, M.T.: Iterated Lavrentiev regularization for nonlinear ill-posed problems. ANZIAM J. 51, 191–217 (2009)

    Article  MATH  Google Scholar 

  12. Nair, M.T., Ravishankar, P.: Regularized versions of continuous Newton’s method and continuous modified Newton’s method under general source conditions. Numer. Funct. Anal. Optim. 29(9–10), 1140–1165 (2008). https://doi.org/10.1080/01630560802484294

    Article  MATH  Google Scholar 

  13. Ostrowski, A.M.: Solution of Equation and System of Equation. Academic Press, New York (1966)

    Google Scholar 

  14. Plato, R.: Iterative and other methods for linear ill-posed problems, habilitation thesis. Technical University, Berlin (1995)

  15. Semenova, E.V.: Lavrentiev regularization and balancing principle for solving ill-posed problems with monotone operators. Comput. Methods Appl. Math. 4, 444–454 (2010)

    Article  MATH  Google Scholar 

  16. Singh, S., Gupta, D.K., Martinez, E., Hueso, J.L.: Semilocal convergence Analysis of an iteration of order five using recurrence relations in Banach spaces. Mediterr. J. Math. 13, 4219–4235 (2016)

    Article  MATH  Google Scholar 

  17. Tautenhahn, U.: On the method of Lavrentiev regularization for nonlinear ill-posed problems. Inverse Probl. 18, 191–207 (2002)

    Article  MATH  Google Scholar 

  18. Vasin, V., George, S.: An analysis of Lavrentiev regularization method and newton type process for nonlinear ill-posed problems. Appl. Math. Comput. 2301, 406–413 (2014)

    MATH  Google Scholar 

  19. Vasin, V., George, S.: An analysis of Lavrentiev regularization method and Newton type process for nonlinear ill-posed problems. Appl. Math. Comput. 230, 406–413 (2014)

    MATH  Google Scholar 

  20. Xiao, X.Y., Yin, H.W.: Increasing the order of convergence for iterative methods to solve nonlinear systems. Calcolo 53, 285–300 (2016)

    Article  MATH  Google Scholar 

Download references

Acknowledgements

The work of Santhosh George and Jidesh P is supported by National Board of Higher Mathematics, India under the project grant No. 02011/17/2020/ NBHM(R.P), R &D II/8073. Mr. Saeed would like to thank National Institute of Technology Karnataka, India, for the financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Jidesh.

Ethics declarations

Conflict of interest

The authors have no relevant conflict of interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

George, S., Saeed, M., Argyros, I.K. et al. An apriori parameter choice strategy and a fifth order iterative scheme for Lavrentiev regularization method. J. Appl. Math. Comput. 69, 1095–1115 (2023). https://doi.org/10.1007/s12190-022-01782-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12190-022-01782-3

Keywords

Mathematics Subject Classification

Navigation