[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Log in

An improved spectral conjugate gradient projection method for monotone nonlinear equations with application

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

Abstract

In this paper, we propose an enhanced spectral conjugate gradient (CG) projection method for solving monotone nonlinear equations with application in signal processing. The derivation of the CG parameter involves a combination of the quasi-Newton and the CG search directions, respectively. This integration aims to harness the efficiency of the quasi-Newton direction and the global convergence properties of the CG method, resulting in a more versatile and efficient algorithm. The search direction ensures sufficient descent without relying on any line search, and the global convergence of the proposed method is established under certain conditions. Numerical experiments have been conducted to evaluate the effectiveness of the proposed method. Finally, the proposed method has been applied to address the problems arising in signal reconstruction.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Algorithm 1
Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Abbass, G., Chen, H., Abdullahi, M., Baba, M.A., Musa, S.: A projection method for solving monotone nonlinear equations with application. Phys. Scr. 98(11), 115250 (2023)

    Article  Google Scholar 

  2. Abdullahi, M., Abubakar, A.B., Feng, Y., Liu, J.: Comment on: A derivative-free iterative method for nonlinear monotone equations with convex constraints. Numer. Algorithms (2023). https://doi.org/10.1007/s11075-023-01546-5

    Article  MathSciNet  Google Scholar 

  3. Abdullahi, M., Abubakar, A.B., Muangchoo, K.: Modified three-term derivative-free projection method for solving nonlinear monotone equations with application. Numer. Algorithms (2023). https://doi.org/10.1007/s11075-023-01616-8

    Article  Google Scholar 

  4. Abdullahi, M., Abubakar, A.B., Salihu, S.B.: Global convergence via modified self-adaptive approach for solving constrained monotone nonlinear equations with application to signal recovery problems. RAIRO-Operations Res. 57(5), 2561–2584 (2023)

    Article  MathSciNet  Google Scholar 

  5. Abdullahi, M., Abubakar, A.B., Sulaiman, A., Chotpitayasunon, P.: An efficient projection algorithm for solving convex constrained monotone operator equations and sparse signal reconstruction problems. J. Anal. (2024). https://doi.org/10.1007/s41478-024-00757-w

    Article  Google Scholar 

  6. Abdullahi, M., Halilu, A.S., Awwal, A.M., Pakkaranang, N.: On efficient matrix-free method via quasi-newton approach for solving system of nonlinear equations. Adv. Theory Nonlinear Anal. its Appl. 5(4), 568–579 (2021)

    Google Scholar 

  7. Abubakar, A.B., Kumam, P., Awwal, A.M.: Global convergence via descent modified three-term conjugate gradient projection algorithm with applications to signal recovery. Results Appl. Math. 4, 100069 (2019)

    Article  MathSciNet  Google Scholar 

  8. Abubakar, A.B., Kumam, P., Mohammad, H., Awwal, A.M., Sitthithakerngkiet, K.: A modified fletcher-reeves conjugate gradient method for monotone nonlinear equations with some applications. Mathematics 7(8), 745 (2019)

    Article  Google Scholar 

  9. Abubakar, A.B., Rilwan, J., Yimer, S.E., Ibrahim, A.H., Ahmed, I.: Spectral three-term conjugate descent method for solving nonlinear monotone equations with convex constraints. Thai J. Math. 18(1), 501–517 (2020)

    MathSciNet  Google Scholar 

  10. Awwal, A.M., Kumam, P., Abubakar, A.B.: A modified conjugate gradient method for monotone nonlinear equations with convex constraints. Appl. Numer. Math. 145, 507–520 (2019)

    Article  MathSciNet  Google Scholar 

  11. Awwal, A.M., Kumam, P., Abubakar, A.B.: A modified conjugate gradient method for monotone nonlinear equations with convex constraints. Appl. Numer. Math. 145, 507–520 (2019)

    Article  MathSciNet  Google Scholar 

  12. Davidon, W.C.: Convergence of variable metric methods. J. Soc. Ind. Appl. Math. 7(1), 46–63 (1959)

    Google Scholar 

  13. Dolan, E.D., Moré, J.J.: Benchmarking optimization software with performance profiles. Math. Program. 91, 201–213 (2002)

    Article  MathSciNet  Google Scholar 

  14. Figueiredo, M.A.T., Nowak, R.D., Wright, S.J.: Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems. IEEE J. sel. top. sign. proc. 1(4), 586–597 (2007)

    Article  Google Scholar 

  15. Halilu, A.S., Majumder, A., Waziri, M.Y., Abdullahi, H.: Double direction and step length method for solving system of nonlinear equations. Eur. J. Mol. Clin. Med. 7(7), 3899–3913 (2020)

    Google Scholar 

  16. Halilu, A.S., Majumder, A., Waziri, M.Y., Ahmed, K., Murtala, S.: Three-term hager-zhang projection method for monotone nonlinear equations. Vietnam J. Math. (2023). https://doi.org/10.1007/s10013-023-00639-x

    Article  Google Scholar 

  17. Halilu, A.S., Majumder, A., Waziri, M.Y., Awwal, A.M., Ahmed, K.: On solving double direction methods for convex constrained monotone nonlinear equations with image restoration. Comput. Appl. Math. 40, 1–27 (2021)

    Article  MathSciNet  Google Scholar 

  18. Halilu, A.S., Waziri, M.Y.: A transformed double step length method for solving large-scale systems of nonlinear equations. J. Numer. Math. Stoch. 9(1), 20–23 (2017)

    MathSciNet  Google Scholar 

  19. Kabiru, A., Waziri, M.Y., Halilu, A.S., Salisu, M.: Sparse signal reconstruction via hager–zhang-type schemes for constrained system of nonlinear equations. Optimization (2023). https://doi.org/10.1080/02331934.2023.2187255

    Article  Google Scholar 

  20. Liu, J., Feng, Y.: A derivative-free iterative method for nonlinear monotone equations with convex constraints. Numerical Algorithms 82, 245–262 (2019)

    Article  MathSciNet  Google Scholar 

  21. Liu, J., Feng, Y.: A derivative-free iterative method for nonlinear monotone equations with convex constraints. Numerical Algorithms 82, 245–262 (2019)

    Article  MathSciNet  Google Scholar 

  22. Liu, J., Li, S.: A projection method for convex constrained monotone nonlinear equations with applications. Comput. Math. Appl. 70(10), 2442–2453 (2015)

    Article  MathSciNet  Google Scholar 

  23. Solodov, M.V., Svaiter, B.F.: A globally convergent inexact Newton method for systems of monotone equations. In: Reformulation: Nonsmooth, Piecewise Smooth, Semismooth and Smoothing Methods, pages 355–369. Springer, (1998)

  24. Wang, C., Wang, Y., Xu, C.: A projection method for a system of nonlinear monotone equations with convex constraints. Math. Methods Oper. Res. 66, 33–46 (2007)

    Article  MathSciNet  Google Scholar 

  25. Waziri, M.Y., Ahmed, K., Sabiu, J., Halilu, A.S.: Enhanced dai-liao conjugate gradient methods for systems of monotone nonlinear equations. SeMA J. 78, 15–51 (2021)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The first author intends to convey his appreciation to Professor Peng Jun for the guidance, counsel, and assistance extended during this research. The third author wishes to express gratitude to the Department of Mathematics and Applied Mathematics, Central South University, Changsha, Hunan, China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sadiq Bashir Salihu.

Ethics declarations

Conflict of interest

No Conflict of interest is declared by the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Salihu, S.B., Halilu, A.S., Abdullahi, M. et al. An improved spectral conjugate gradient projection method for monotone nonlinear equations with application. J. Appl. Math. Comput. 70, 3879–3915 (2024). https://doi.org/10.1007/s12190-024-02121-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12190-024-02121-4

Keywords

Mathematics Subject Classification

Navigation