Skip to main content
Log in

Unified error analysis for Newton-type methods

  • Published:
Numerische Mathematik Aims and scope Submit manuscript

Summary

Under proper hypotheses, Rheinboldt has shown that Newtonrelated iterates\(x_{n + 1} = x_n - {\cal D}\left( {x_n } \right)^{ - 1} Fx_n \), where some\({\cal D}\left( x \right)\) approximates the Fréchet derivative of an operatorF, converge to a rootx - ofF. Under these hypotheses, this paper establishes error bounds

$$\left\| {x^* - x_n } \right\|B_n \left\| {x_n - x_{n - 1} } \right\|C_n \left\| {x_1 - x_0 } \right\|, \left\| {x_n - \xi _n } \right\|s_n ,$$

whereB n ,C n ,s n are constants, and where ξ n ; are perturbed iterates which take into account rounding errors occuring during actual computations.

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. Gragg, W.B., Tapia, R.A.: Optimal error bounds for the Newton-Kantorovich theorem. SIAM J. Numer. Anal.11, 10–13 (1974)

    Article  Google Scholar 

  2. Lancaster, P.: Error analysis for the Newton-Raphson method. Numer. Math.9, 55–68 (1966)

    Google Scholar 

  3. Miel, G.J.: The Kantorovich theorem with optimal error bounds. Amer. Math. Monthly86, 212–215 (1979)

    Google Scholar 

  4. Ortega, J.M., Rheinboldt, W.C.: Iterative solution of nonlinear equations in several variables. New York: Academic Press 1970

    Google Scholar 

  5. Rockne, J.: Newton's method under mild differentiability conditions with error analysis. Numer. Math.,18, 401–412 (1972)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Miel, G.J. Unified error analysis for Newton-type methods. Numer. Math. 33, 391–396 (1979). https://doi.org/10.1007/BF01399322

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01399322

Subject Classifications

Navigation