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Achieving higher order of convergence for solving systems of nonlinear equations

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  • Xiao, Xiaoyong
  • Yin, Hongwei

Abstract

In this paper, we develop a class of third order methods which is a generalization of the existing ones and a method of fourth order method, then introduce a technique that improves the order of convergence of any given iterative method for solving systems of nonlinear equations. Based on a given iterative method of order p ≥ 2 which uses the extended Newton iteration as a predictor, a new method of order p+2 is proposed with only one additional evaluation of the function. Moreover, if the given iterative method of order p ≥ 3 uses the Newton iteration as a predictor, then a new method of order p+3 can be developed. Applying this procedure, we obtain some new methods with higher order of convergence. Moreover, computational efficiency is analyzed and comparisons are made between these new methods and the ones from which have been derived. Finally, several numerical tests are performed to show the asymptotic behaviors which confirm the theoretical results.

Suggested Citation

  • Xiao, Xiaoyong & Yin, Hongwei, 2017. "Achieving higher order of convergence for solving systems of nonlinear equations," Applied Mathematics and Computation, Elsevier, vol. 311(C), pages 251-261.
    • Handle: RePEc:eee:apmaco:v:311:y:2017:i:c:p:251-261
    DOI: 10.1016/j.amc.2017.05.033
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    Citations

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    Cited by:

    1. Michael I. Argyros & Ioannis K. Argyros & Samundra Regmi & Santhosh George, 2022. "Generalized Three-Step Numerical Methods for Solving Equations in Banach Spaces," Mathematics, MDPI, vol. 10(15), pages 1-28, July.
    2. Cordero, Alicia & Leonardo-Sepúlveda, Miguel A. & Torregrosa, Juan R. & Vassileva, María P., 2024. "Increasing in three units the order of convergence of iterative methods for solving nonlinear systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 223(C), pages 509-522.
    3. Xiao, Xiao-Yong & Yin, Hong-Wei, 2018. "Accelerating the convergence speed of iterative methods for solving nonlinear systems," Applied Mathematics and Computation, Elsevier, vol. 333(C), pages 8-19.
    4. Janak Raj Sharma & Deepak Kumar & Ioannis K. Argyros, 2019. "Local Convergence and Attraction Basins of Higher Order, Jarratt-Like Iterations," Mathematics, MDPI, vol. 7(12), pages 1-16, December.
    5. Ramandeep Behl & Ioannis K. Argyros, 2020. "Local Convergence for Multi-Step High Order Solvers under Weak Conditions," Mathematics, MDPI, vol. 8(2), pages 1-14, February.

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