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Optimal eighth-order Steffensen-type iterative family for multiple roots with applications to nonlinear models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10258508" target="_blank" >RIV/61989100:27740/25:10258508 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.isr-publications.com/jmcs/articles-15574-optimal-eighth-order-steffensen-type-iterative-family-for-multiple-roots-with-applications-to-nonlinear-models" target="_blank" >https://www.isr-publications.com/jmcs/articles-15574-optimal-eighth-order-steffensen-type-iterative-family-for-multiple-roots-with-applications-to-nonlinear-models</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.22436/jmcs.040.04.03" target="_blank" >10.22436/jmcs.040.04.03</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimal eighth-order Steffensen-type iterative family for multiple roots with applications to nonlinear models

  • Original language description

    Several advanced iterative techniques for finding multiple roots of higher order, along with the evaluation of derivatives, have been extensively studied and documented in the literature. However, the development of higher order methods without derivatives remains a challenging task, resulting in a scarcity of such techniques in existing research. Motivated by this observation, we propose a novel eighth-order iteration function of the Traub-Steffensen type. The suggested family employs the first-order divided difference and weight functions of one and three variables, optimizing performance for multiple roots with known multiplicity. The iterative scheme requires four functional evaluations per iteration achieving optimal eighth-order convergence in the sense of the Kung-Traub conjecture with an efficiency index of 1.6818. A comprehensive convergence analysis is conducted to confirm the optimality of the proposed method. Extensive numerical testing demonstrates the stability of the theoretical predictions and the favorable convergence behavior of the new scheme. To validate its practical utility, we explore various real-world nonlinear problems involving multiple roots, such as modeling energy distribution in a blackbody radiation, root clustering, and other applications. These comparisons reveal the effectiveness of the proposed scheme relative to other eighth-order iterative methods in terms of computational order of convergence, residual error, and the difference between successive iterations. Furthermore, the stable convergence behavior of the proposed method analyzed through graphical analysis using polynomial and transcendental functions. Basins of attraction are plotted for the designed eighth-order algorithm and compared with similar methods in the field. These graphical representations highlight the superior convergence speed and overall performance of the proposed algorithm, demonstrating its robust competitiveness in solving nonlinear problems with multiple roots.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10100 - Mathematics

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Mathematics and Computer Science

  • ISSN

    2008-949X

  • e-ISSN

    2008-949X

  • Volume of the periodical

    40

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    IR - IRAN, ISLAMIC REPUBLIC OF

  • Number of pages

    20

  • Pages from-to

    481-500

  • UT code for WoS article

    001551738000001

  • EID of the result in the Scopus database

    2-s2.0-105014743138