Visual Analysis of Mixed Algorithms with Newton and Abbasbandy Methods Using Periodic Parameters

Author:

Khan Safeer Hussain,Jolaoso Lateef OlakunleORCID,Aphane MaggieORCID

Abstract

In this paper, we proposed two mixed algorithms of Newton’s and Abbasbandy’s methods using a known iteration scheme from fixed point theory in polynomiography. We numerically investigated some properties of the proposed algorithms using periodic sequence parameters instead of the constant parameters that are mostly used by many authors. Two pseudo-Newton algorithms were introduced based on the mixed iterations for the purpose of generating polynomiographs. The properties of the obtained polynomiographs were studied with respect to their graphics, turning effects and computation time. Moreover, some of these polynomiographs exhibited symmetrical properties when the degree of the polynomial was even.

Funder

Sefako Makgatho Health Sciences University Postdoctoral research fund

Department of Mathematics and Applied Mathematics, Sefako Makgatho Health Sciences University, Pretoria, South Africa

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference19 articles.

1. Sarhangi, R., and Moody, R. (2005). Renaissance Banff: Mathematics, Music, Art, Culture, Bridges Conference, Southwestern College.

2. Jolaoso, L.O., and Khan, S.H. (2020). Some Escape Time Results for General Complex Polynomials and Biomorphs Generation by a New Iteration Process. Mathematics, 8.

3. Polynomiography: From the fundamental theorem of Algebra to art;Leonardo,2005

4. Polynomiography and applications in art, education and science;Comput. Graph.,2004

5. Kalantari, B. (2016). A Necessary and Suffcient Condition for Local Maxima of Polynomial Modulus Over Unit Disc. arXiv.

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