Skip to main content
Log in

On the conditions of convergence for one class of methods used for the solution of ill-posed problems

  • Published:
Ukrainian Mathematical Journal Aims and scope

We propose a new class of projection methods for the solution of ill-posed problems with inaccurately specified coefficients. For methods from this class, we establish the conditions of convergence to the normal solution of an operator equation of the first kind. We also present additional conditions for these methods guaranteeing the convergence with a given rate to normal solutions from a certain set.

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. P. Mathe and S. V. Pereverzev, “Discretization strategy for linear ill-posed problems in variable Hilbert scales,” Inverse Probl., 19, 1263–1277 (2003).

    Article  MATH  MathSciNet  Google Scholar 

  2. S. V. Pereverzev, “Optimization of projection methods for solving ill-posed problems,” Computing, 55, 113–124 (1995).

    Article  MATH  MathSciNet  Google Scholar 

  3. S. G. Solodky, “A generalized projection scheme for solving ill-posed problems,” J. Inverse Ill-Posed Probl., 7, 185–200 (1999).

    Article  MATH  MathSciNet  Google Scholar 

  4. S. G. Solodky, “On a quasioptimal regularized projection method for solving operator equations of the first kind,” Inverse Probl., 21, No. 4, 1473–1485 (2005).

    Article  MATH  MathSciNet  Google Scholar 

  5. S. G. Solodky and E. V. Lebedeva, “Bounds of information expenses in constructing projection methods for solving ill-posed problems,” Comput. Meth. Appl. Math., 6, No. 1, 87–93 (2006).

    MATH  MathSciNet  Google Scholar 

  6. R. Plato and G. Vainikko, “On the regularization of projection methods for solving ill-posed problems,” Numer. Math., 57, 63–79 (1990).

    Article  MATH  MathSciNet  Google Scholar 

  7. R. Plato and G. Vainikko, “On the regularization of the Ritz-Galerkin method for solving ill-posed problems,” Uch. Zap. Tartu. Univ., 863, 3–17 (1989).

    MathSciNet  Google Scholar 

  8. A. B. Bakushinskii, “A general approach to the construction of a regularizing algorithm for linear ill-posed equations in Hilbert spaces,” Zh. Vychisl. Mat. Mat. Fiz., 7, No. 3, 672–677 (1967).

    MathSciNet  Google Scholar 

  9. G. M. Vainikko and A. Yu. Veretennikov, Iterative Procedures in Ill-Posed Problems [in Russian], Nauka, Moscow (1986).

    Google Scholar 

  10. A. V. Goncharskii, A. S. Leonov, and A. G. Yagola, “Generalized discrepancy principle,” Zh. Vychisl. Mat. Mat. Fiz., 13, 294–302 (1973).

    Google Scholar 

  11. E. V. Lebedeva, “On one rule of the choice of discrete information for the approximate solution of ill-posed problems,” Uch. Zap. Tavrich. Nats. Univ., Ser. Mat. Mekh. Inform. Kibernet., 18, No. 1, 47–54 (2005).

    Google Scholar 

  12. M. L. Krasnov, A. I. Kiselev, and G. V. Makarenko, Integral Equations [in Russian], Nauka, Moscow (1976).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Ukrains'kyi Matematychnyi Zhurnal, Vol. 60, No. 6, pp. 843–850, June, 2008.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lebedeva, E.V. On the conditions of convergence for one class of methods used for the solution of ill-posed problems. Ukr Math J 60, 985–994 (2008). https://doi.org/10.1007/s11253-008-0100-1

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11253-008-0100-1

Keywords

Navigation