Skip to main content
Log in

A weak condition for secant method to solve systems of nonlinear equations

  • Published:
Applied Mathematics-A Journal of Chinese Universities Aims and scope Submit manuscript

Abstract

In this paper, a new weak condition for the convergence of secant method to solve the systems of nonlinear equations is proposed. A convergence ball with the center x 0 is replaced by that with x 1, the first approximation generated by the secant method with the initial data x −1 and x 0. Under the bounded conditions of the divided difference, a convergence theorem is obtained and two examples to illustrate the weakness of convergence conditions are provided. Moreover, the secant method is applied to a system of nonlinear equations to demonstrate the viability and effectiveness of the results in the paper.

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. Argyros I K. Improved convergence analysis for the secant method based on a certain type of recurrence relations, Int J Comput Math, 2004, 81(5): 629–637.

    Article  MATH  MathSciNet  Google Scholar 

  2. Balázs M, Goldner G. On existence of divided differences in linear spaces, Rev Anal Numér Théorie Approximation, 1973, 2: 5–9.

    Google Scholar 

  3. Dennis J E. On the convergence of Newton-like methods, In: Numerical Methods for Nonlinear Algebraic Equations, London: Gordon and Breach, 1970.

    Google Scholar 

  4. Han Danfu, Wang Xinghua. Convergence on a deformed Newton method, Appl Math Comput, 1998, 94: 65–72.

    Article  MATH  MathSciNet  Google Scholar 

  5. Hernández M A, Rubio M J. The secant method and divided differences Hölder continuous, Appl Math Comput, 2001, 124(2): 139–149.

    Article  MATH  MathSciNet  Google Scholar 

  6. Huang Zhengda. On the convergence of the secant method in Banach space, J Zhejiang Univ (Science) (in Chinese), 2002, 29(2): 140–143.

    MATH  Google Scholar 

  7. Liang Kewei. Theories and methods for solving nonlinear equations and its applications in singularly perturbed problems, PhD Thesis, Hangzhou: Zhejiang University, 2001.

    Google Scholar 

  8. Potra F A. On iterative algorithm of order 1.839 ... for solving nonlinear operator equations, Numer Funct Anal Optim, 1984–85, 7(1): 75–106.

    Article  MATH  MathSciNet  Google Scholar 

  9. Potra F A, Ptak V. Nondiscrete Induction and Iterative Processes, New York: Pitman, 1984.

    MATH  Google Scholar 

  10. Ren Hongmin, Yang Shijun, Wu Qingbiao. A new semilocal convergence theorem for the secant method under Hölder continuous divided differences, Appl Math Comput, 2006, 182(1): 41–48.

    Article  MATH  MathSciNet  Google Scholar 

  11. Schröder J. Nichtlineare Majoranten beim Verfahren der schrittweisen Nädherung, ArchMath, 1956, 7: 471–484.

    Google Scholar 

  12. Wang Xinghua. Convergence of an iterative procedure, Chinese Science Bulletin, 1975, 20(12): 558–559.

    Google Scholar 

  13. Wang Xinghua. On error estimates for some numerical root-finding methods, Acta Math Sinica, 1979, 22(5): 638–642.

    MATH  MathSciNet  Google Scholar 

  14. Wang Xinghua. On the Mysovskich theorem of Newton method, Chinese Ann Math, 1980, 1(2): 283–288.

    MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Supported by the Qianjiang Rencai Project Foundation of Zhejiang Province (J20070288).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Liang, Kw., Han, Df., Zhang, H. et al. A weak condition for secant method to solve systems of nonlinear equations. Appl. Math. J. Chin. Univ. 24, 90–96 (2009). https://doi.org/10.1007/s11766-009-1975-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11766-009-1975-9

MR Subject Classification

Keywords

Navigation