Skip to main content
Log in

On the convergence and application of Newton-like methods for analytic operators

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

Abstract

We provide local and semilocal theorems for the convergence of Newton-like methods to a locally unique solution of an equation in a Banach space. The analytic property of the operator involved replaces the usual domain condition for Newton-like methods. In the case of the local results we show that the radius of convergence can be enlarged. A numerical example is given to justify our claim. This observation is important and finds applications in steplength selection in predictor-corrector continuation procedures.

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. I. K. Argyros,Improved error bounds for Newton-like iterations under Chen-Yamamoto assumptions, Appl. Math. Letters10, 4 (1997), 97–100.

    Article  MATH  Google Scholar 

  2. I.K. Argyros,Local convergence theorems for Newton's method using outer or generalized inverses and m-Fréchet differentiable operators, Mathematical Sciences Research Hot-Line4, 8 (2000), 47–56.

    MATH  MathSciNet  Google Scholar 

  3. I.K. Argyros,A Newton-Kantorovich theorem for equations involving m-Fréchet differentiable operators and applications in radiative transfer, J. Comput. Appl. Math.131, 1–2 (2001), 149–159.

    Article  MATH  MathSciNet  Google Scholar 

  4. I.K. Argyros and F. Szidarovszky,The Theory and Applications of Iteration Methods, C. R. C. Press, Boca Raton, Florida, 1993.

    MATH  Google Scholar 

  5. P.N. Brown,A local convergence theory for combined inexact-Newton/finite-difference projection methods, SIAM J. Numer. Anal.24, 2 (1987), 407–434.

    Article  MATH  MathSciNet  Google Scholar 

  6. J.M. Gutiérrez,A new semilocal convergence theorem for Newton's method, J. Comp. Appl. Math.79 (1997), 131–145.

    Article  MATH  Google Scholar 

  7. L.V. Kantorovich and G.P. Akilov,Functional Analysis, Pergamon Press, Oxford, 1982.

    MATH  Google Scholar 

  8. F.A. Potra,On Q-order and R-order of convergence, SIAM J. Optimiz. Th. Applic.63, 3 (1989), 415–431.

    Article  MATH  MathSciNet  Google Scholar 

  9. W.C. Rheinboldt,An adaptive continuation process for solving systems of nonlinear equations, Polish Academy of Science, Banach Ctr. Publ.3 (1977), 129–142.

    MathSciNet  Google Scholar 

  10. W.C. Rheinboldt,On a theorem of S. Smale about Newton's method for analytic mappings, Appl. Math. Letters1, 1 (1988), 69–72.

    Article  MATH  MathSciNet  Google Scholar 

  11. S. Smale,Newton's method estimates from data at one point, in: R.E. Ewing, K.I. Gross, and C.F. Clyde, editors, The Merging Disciplines: New Directions in Pure, Applied and Computational Mathematics, Springer-Verlag, New York, 1986, pp. 185–196.

    Google Scholar 

  12. T.J. Ypma,Local convergence of inexact Newton methods. SIAM J. Numer. Anal.21, 3 (1984), 583–590.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ioannis K. Argyros.

Additional information

Dr. Ioannis K. Argyros has degrees from University of Athens, Greece (1979, Bachelor in Mathematics), University of Georgia, Athens, Georgia, U.S.A. (M.Sc., 1983, Ph.D., 1984 in Mathematics). He is a professor of Mathematics with research interests in: Numerical Analysis, Numerical-Functional Analysis, Computational Mathematics, Optimization, Mathematical Economics, Mathematical Physics, Wavelet and Neural Networks.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Argyros, I.K. On the convergence and application of Newton-like methods for analytic operators. JAMC 10, 41–50 (2002). https://doi.org/10.1007/BF02936204

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02936204

AMS Mathematics Subject Classification

Key words and phrases

Navigation