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Extended Convergence of Two Multi-Step Iterative Methods

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  • Additional Information
    • Publication Information:
      MDPI AG, 2023.
    • Publication Date:
      2023
    • Collection:
      LCC:Mathematics
    • Abstract:
      Iterative methods which have high convergence order are crucial in computational mathematics since the iterates produce sequences converging to the root of a non-linear equation. A plethora of applications in chemistry and physics require the solution of non-linear equations in abstract spaces iteratively. The derivation of the order of the iterative methods requires expansions using Taylor series formula and higher-order derivatives not present in the method. Thus, these results cannot prove the convergence of the iterative method in these cases when such higher-order derivatives are non-existent. However, these methods may still converge. Our motivation originates from the need to handle these problems. No error estimates are given that are controlled by constants. The process introduced in this paper discusses both the local and the semi-local convergence analysis of two step fifth and multi-step 5+3r order iterative methods obtained using only information from the operators on these methods. Finally, the novelty of our process relates to the fact that the convergence conditions depend only on the functions and operators which are present in the methods. Thus, the applicability is extended to these methods. Numerical applications complement the theory.
    • File Description:
      electronic resource
    • ISSN:
      2673-9321
    • Relation:
      https://www.mdpi.com/2673-9321/3/1/13; https://doaj.org/toc/2673-9321
    • Accession Number:
      10.3390/foundations3010013
    • Accession Number:
      edsdoj.22587e815d9f429082358cb34a351a48