Skip to main content
Log in

Convergence Properties of an Iterative Method for Solving Symmetric Non-linear Equations

  • Published:
Journal of Optimization Theory and Applications Aims and scope Submit manuscript

Abstract

We introduce an iterative method for solving symmetric systems of non-linear equations without computing Jacobian and gradient using the special structure of the underlying function. This derivative-free feature makes it solve relatively large-scale problems. We show that the proposed method has global and linear convergence properties under appropriate conditions. We also report some numerical results to show its efficiency.

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.

Fig. 1

Similar content being viewed by others

References

  1. Li, D., Fukushima, M.: A globally and superlinearly convergent Gauss-Newton-based BFGS method for symmetric nonlinear equations. SIAM J. Numer. Anal. 37, 152–172 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  2. Gu, G., Li, D., Qi, L., Zhou, S.: Descent directions of quasi-Newton method for symmetric nonlinear equations. SIAM J. Numer. Anal. 40, 1763–1774 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  3. Li, D., Wang, X.: A modified Fletcher-Reeves-type derivative-free method for symmetric nonlinear equations. Numer. Algebra Cont. Optim. 1, 71–82 (2011)

    Article  MATH  Google Scholar 

  4. Zhang, L., Zhou, W., Li, D.: Global convergence of a modified Fletcher-Reeves conjugate gradient method with Armijo-type line search. Numer. Math. 104, 561–572 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  5. Yuan, Y.: Recent advances in numerical methods for nonlinear equations and nonlinear least squares. Numer. Algebra Cont. Optim. 1, 15–34 (2011)

    Article  MATH  Google Scholar 

  6. Zhang, L., Zhou, W., Li, D.: A descent modified Polak-Ribière-Polyak conjugate gradient method and its global convergence. IMA J. Numer. Anal. 26, 629–640 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  7. Polak, E., Ribière, G.: Note sur la convergence de méthodes de directions conjuguées. Rev. Fr. Inform. Rech. Oper. 16, 35–43 (1969)

    Google Scholar 

  8. Polyak, B.T.: The conjugate gradient method in extreme problems. USSR Comput. Math. Math. Phys. 9, 94–112 (1969)

    Article  Google Scholar 

  9. Dai, Y., Liao, L.: New conjugacy conditions and related nonlinear conjugate gradient methods. Appl. Math. Optim. 43, 87–101 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  10. La Cruz, W., Martinez, J.M., Raydan, M.: Spectral residual method without gradient information for solving large-scale nonlinear systems: theory and experiments. Technical Report RT-04-08, Dpto. de Computacion, UCV, (2004).

Download references

Acknowledgments

The authors thank the editor and the anonymous referees for their valuable comments. This work was supported in part by the NSF (11371073) of China, the Key Project of the Scientific Research Fund (12A004) of the Hunan Provincial Education Department, and the NSF (13JJ4062) of Hunan Province.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weijun Zhou.

Additional information

Communicated by Nobuo Yamashita.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhou, W., Shen, D. Convergence Properties of an Iterative Method for Solving Symmetric Non-linear Equations. J Optim Theory Appl 164, 277–289 (2015). https://doi.org/10.1007/s10957-014-0547-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10957-014-0547-1

Keywords

Mathematics Subject Classification (2000)

Navigation