Two new iterative schemes to approximate the fixed points for mappings

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-06-03 DOI:10.1515/ijnsns-2021-0141
Aniruddha V. Deshmukh, D. Gopal, V. Rakočević
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Abstract

Abstract In this article, we present a study of two iterative schemes to approximate the fixed points of enriched non-expansive maps and enriched generalized non-expansive maps. The schemes introduced in this article generalize those given by Thakur et al. in (“A new iterative scheme for approximating fixed points of nonexpansive mappings,” Filomat, vol. 30, no. 10, pp. 2711–2720, 2016.) and Ali et al. in (“Approximation of Fixed points for Suzuki’s generalized nonexpansive mappings,” Mathematics, vol. 7, no. 6, pp. 522–532, 2019.) in a sense that our schemes work for larger classes of enriched mappings and the schemes given by Thakur et al. and Ali et al. reduce to a particular case of our iterative techniques. Taking inspiration from Berinde (“Picard iteration converges faster than Mann iteration for a class of quasi-contractive operators,” Fixed Point Theory Appl., vol. 2004, no. 2, pp. 97–105, 2004.) and Maniu (“On a three-step iteration process for Suzuki mappings with qualitative study,” Numer. Funct. Anal. Optim., 2020.), we also give stability results of the our procedures for enriched contractions (introduced by Berinde in 2019). Lastly, we compare the rate of convergence of our schemes with each other and the conventional Krasnoselskii iteration process used for approximating fixed points of enriched contractions along with some examples. As an application to the proposed iterative schemes, we give a few results on the solutions of linear system of equations.
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映射不动点逼近的两个新迭代方案
摘要在本文中,我们研究了两种迭代方案来逼近富非扩张映射和富广义非扩张映射的不动点。本文中引入的方案推广了Thakur等人在(“近似非扩张映射不动点的新迭代方案”,Filomat,第30卷,第10期,第2711–2720页,2016)和Ali等人在(《Suzuki广义非扩张映射的不动点逼近》,数学,第7卷,第6期,第522–5322019页)中给出的方案,从某种意义上说方案适用于更大类的丰富映射,Thakur等人和Ali等人给出的方案简化为迭代技术的一个特殊情况。灵感来自Berinde(“一类拟压缩算子的Picard迭代收敛速度快于Mann迭代,”不动点理论应用,2004年第2卷,第97–105页。)和Maniu(“关于Suzuki映射的三步迭代过程与定性研究,”Numer.Funct.Anal.Opti.,2020.),我们还给出了我们的浓缩收缩程序的稳定性结果(由Berinde于2019年引入)。最后,我们比较了我们的方案的收敛速度,以及用于逼近富集收缩不动点的传统Krasnoselskii迭代过程,并给出了一些例子。作为迭代格式的应用,我们给出了线性方程组解的一些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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