Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/281
Title: A quasi-newton like method via modified rational approximation model for solving system of nonlinear equation
Authors: Kamfa K. 
Waziri M.Y. 
Sulaiman I.M. 
Mamat M. 
Hery Ibrahim, M.A. 
Keywords: Local convergence;Newton;Rational Approximation Function
Issue Date: 2020
Journal: Journal of Advanced Research in Dynamical and Control Systems 
Abstract: 
The major disadvantages of Newton method (NM) for nonlinear system of equations consist of finding and storing n × n Jacobin matrix which entail computation of the first derivatives in every iteration. In practice finding derivatives of some functions are often costly and sometime may not be available when the number of variables is large. In this paper, we proposed a new quasi newton like method via modified rational approximation model. Under certain condition, we show that this new algorithm has superlinear convergence rate. Numerical results have shown that the proposed method performed better than the classical methods for solving system of nonlinear equations.
Description: 
Scopus
URI: http://hdl.handle.net/123456789/281
DOI: 10.5373/JARDCS/V12SP2/SP20201159
Appears in Collections:Faculty of Entrepreneurship and Business - Journal (Scopus/WOS)

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