A family of hybrid derivative-free methods via acceleration parameter for solving system of nonlinear equations

Author:

Waziri Mohammed1,Muhammad Hadiza1,Halilu Abubakar2,Ahmed Kabiru1

Affiliation:

1. Department of Mathematical Sciences, Bayero University, Kano, Nigeria + Numerical Optimization Research Group, Department of Mathematical Sciences, Bayero University, Kano, Nigeria

2. Department of Mathematics, Sule Lamido University, Kafin Hausa, Nigeria + Numerical Optimization Research Group, Department of Mathematical Sciences, Bayero University, Kano, Nigeria

Abstract

In this paper, we present some derivative-free methods for solving system of nonlinear equations based on approximating the Jacobian matrix via acceleration and correction parameters. Furthermore, we compute the step length using inexact line search procedure. Under appropriate conditions, we proved that the proposed methods are globally. We also present some numerical results to show the efficiency of the proposed methods by comparing them with some existing derivative-free methods in the recent literature.

Publisher

National Library of Serbia

Subject

General Mathematics

Reference67 articles.

1. M.J. Petrović, Hybridization Rule Applied on Accelerated Double Step Size Optimization Scheme, Filomat, 33(3) (2019) 655-665. doi.org/10.2298/FIL1903655P

2. M.J. Petrović, V. Rakocević, D. Valjarević et al.,A note on hybridization process applied on transformed double step size model, Numer Algor. 85 (2020) 449-465. doi.org/10.1007/s11075-019-00821-8

3. D. Li, M. Fukushima, A global and superlinear convergent Gauss-Newton based BFGS method for symmetric nonlinear equations, SIAM J. Num. Anal. 37 (1999) 152-172.

4. J.E. Dennis, and J.J. More, A characterization of superlinear convergence and its application to quasi-newton methods, Math Comput. 1974; 28: 549-560.

5. P.S. Stanimirović, G.V. Milovanović, M.J. Petrović, N. Kontrec, A transformation of accelerated double step size method for unconstrained optimization, Math. Probl. Eng. Article ID 283679, (2015) 8 pages. doi.org/10.1155/2015/283679.

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