An application of nonstandard viscosity iterative methods with s-convexity in the generation of fractals for rational maps

This paper introduces an application of novel fractal patterns, specifically Julia and Mandelbrot sets, generated by a modified class of complex rational maps in which the traditional constant term is replaced with a logarithmic component. By utilizing nonstandard viscosity iterative methods with s-convexity, we derive enhanced escape criteria that refine existing computational algorithms, thereby enabling the precise visualization of intricate fractal structures as Julia and Mandelbrot sets. Our results demonstrate dynamic transformations in the shape and size of these fractals as key input parameters are adjusted. We believe that the insights garnered from this research will inspire and motivate researchers and enthusiasts deeply engaged in the field of fractal geometry.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2025-10-25
DOI
https://doi.org/10.19139/soic-2310-5070-2871
Primary Topic
Mathematical Dynamics and Fractals
Type
article
Field-Weighted Citation Impact
0.00

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article

An application of nonstandard viscosity iterative methods with s-convexity in the generation of fractals for rational maps

Iqbal Ahmad, Mohammed Alnasyan
Statistics Optimization & Information Computing
Mathematical Dynamics and Fractals
article

An application of nonstandard viscosity iterative methods with s-convexity in the generation of fractals for rational maps

Iqbal Ahmad, Mohammed Alnasyan
article en

Abstract

This paper introduces an application of novel fractal patterns, specifically Julia and Mandelbrot sets, generated by a modified class of complex rational maps in which the traditional constant term is replaced with a logarithmic component. By utilizing nonstandard viscosity iterative methods with s-convexity, we derive enhanced escape criteria that refine existing computational algorithms, thereby enabling the precise visualization of intricate fractal structures as Julia and Mandelbrot sets. Our results demonstrate dynamic transformations in the shape and size of these fractals as key input parameters are adjusted. We believe that the insights garnered from this research will inspire and motivate researchers and enthusiasts deeply engaged in the field of fractal geometry.

Statistics Optimization & Information ComputingVol. 14(5)
Qassim University (SA)
Qassim University
Openalex Percentile: Top 61%
Mathematical Dynamics and Fractals
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