Skip to main content
Log in

On improving accuracy for Arcangeli's method for solving Ill-posed equations

  • Published:
Integral Equations and Operator Theory Aims and scope Submit manuscript

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.

References

  1. H.W. ENGL, M. HANKE and A. NUEBAUER,Regularization of Inverse Problems, Kluwer, Dordrecht 1996.

    Google Scholar 

  2. S. GEORGE and M.T. NAIR, Parameter choice by discrepancy principles for ill-posed problems leading to optimal convergence rates,J. Optim. Th. and Appl.,83 (1994) 217–222.

    Google Scholar 

  3. C.W. GROETSCH,The Theory of Tikhonov Regularization for Fredholm Equations of the First Kind, Pitman Publishing, Boston, London, Melbourne, 1984.

    Google Scholar 

  4. C.W. GROETSCH and E. SCHOCK, Asymptotic convergnce rate of Arcangeli's method for ill-posed problems,Applicable Analysis,18 (1984) 175–182.

    Google Scholar 

  5. M.T. NAIR, A generalization of Arcangeli's method for ill-posed problems leading to optimal rates,Integr. Equat. Oper.,15 (1992) 1042–1046.

    Google Scholar 

  6. E. SCHOCK, Parameter choice by discrepancy principles for the approximate solution of ill-posed problems,Integr. Equat. Oper. Th.,7 (1984) 895–898.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

The work of this author is supported by a project grant from National Board for Higher Mathematics, Department of Atomic Energy, government of India.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nair, M.T., Rajan, M.P. On improving accuracy for Arcangeli's method for solving Ill-posed equations. Integr equ oper theory 39, 496–501 (2001). https://doi.org/10.1007/BF01203326

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01203326

AMS Subject Classification

Navigation