Accelerated iterative methods for finding solutions of a system of nonlinear equations

  1. Grau-Sánchez, M. 1
  2. Peris, J.M. 1
  3. Gutiérrez, J.M. 2
  1. 1 Universitat Politècnica de Catalunya
    info

    Universitat Politècnica de Catalunya

    Barcelona, España

    ROR https://ror.org/03mb6wj31

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Journal:
Applied Mathematics and Computation

ISSN: 0096-3003

Year of publication: 2007

Volume: 190

Issue: 2

Pages: 1815-1823

Type: Article

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DOI: 10.1016/J.AMC.2007.02.068 SCOPUS: 2-s2.0-34250672389 WoS: WOS:000248400400087 GOOGLE SCHOLAR

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Abstract

In this paper, we present a technique to construct iterative methods to approximate the zeros of a nonlinear equation F (x) = 0, where F is a function of several variables. This technique is based on the approximation of the inverse function of F and on the use of a fixed point iteration. Depending on the number of steps considered in the fixed point iteration, or in other words, the number of evaluations of the function F, we obtain some variants of classical iterative processes to solve nonlinear equations. These variants improve the order of convergence of classical methods. Finally, we show some numerical examples, where we use adaptive multi-precision arithmetic in the computation that show a smaller cost. © 2007 Elsevier Inc. All rights reserved.