Skip to main content
Log in

Iterative methods based on the signum function approach for solving nonlinear equations

  • Original Paper
  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

For finding a root of an equation f(x) = 0 on an interval (a, b), we develop an iterative method using the signum function and the trapezoidal rule for numerical integrations based on the recent work (Yun, Appl Math Comput 198:691–699, 2008). This method, so-called signum iteration method, depends only on the signum function \({\rm{sgn}}\left(f(x)\right)\) independently of the behavior of f(x), and the error bound of the kth approximation is (b − a)/(2N k), where N is the number of integration points for the trapezoidal rule in each iteration. In addition we suggest hybrid methods which combine the signum iteration method with usual methods such as Newton, Ostrowski and secant methods. In particular the hybrid method combined with the signum iteration and the secant method is a predictor-corrector type method (Noor and Ahmad, Appl Math Comput 180:167–172, 2006). The proposed methods result in the rapidly convergent approximations, without worry about choosing a proper initial guess. By some numerical examples we show the superiority of the presented methods over the existing iterative methods.

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. Atkinson, K.E.: An Introduction to Numerical Analysis. Wiley, Singapore (1989)

    MATH  Google Scholar 

  2. Basto, M., Semiao, V., Calheiros, F.L.: A new iterative method to compute nonlinear equations. Appl. Math. Comput. 173, 468–483 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  3. Chen, J.: New modified regula falsi method for nonlinear equations. Appl. Math. Comput. 184, 965–971 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  4. Grau, M., Diaz-Barrero, J.L.: An improvement to Ostrawski root-finding method. Appl. Math. Comput. 173, 450–456 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  5. Homeier, H.H.H.: A modified Newton method with third-order convergence. J. Comput. Appl. Math. 157, 227–230 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  6. Kou, J., Li, Y., Wang, A.: A modification of Newton method with third-order convergence. Appl. Math. Comput. 181, 1106–1111 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  7. Noor, M.A., Ahmad, F.: Numerical comparison of iterative methods for solving nonlinear equations. Appl. Math. Comput. 180, 167–172 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  8. Noor, M.A., Ahmad, F., Javeed, S.: Two-step iterative methods for nonlinear equations. Appl. Math. Comput. 181, 1068–1075 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  9. Ostrowski, A.M.: Solution of Equations and Systems of Equations. Academic, New York (1966)

    MATH  Google Scholar 

  10. Petković, M.S., Herceg, D.: On rediscovered iteration methods for solving equations. J. Comput. Appl. Math. 107, 275–284 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  11. Petković, L.D., Petković, M.S.: A note on some recent methods for solving nonlinear equations. Appl. Math. Comput. 185, 368–374 (2007)

    Article  MATH  MathSciNet  Google Scholar 

  12. Yun, B.I.: A non-iterative method for solving non-linear equations. Appl. Math. Comput. 198, 691–699 (2008)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Beong In Yun.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yun, B.I., Petković, M.S. Iterative methods based on the signum function approach for solving nonlinear equations. Numer Algor 52, 649–662 (2009). https://doi.org/10.1007/s11075-009-9305-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-009-9305-0

Keywords

Mathematics Subject Classifications (2000)

Navigation