Saeed Kosari, Peng Xu, Jana Shafi, MohammadHossein Derakhshan
{"title":"一种高效的混合数值方法,用于求解涉及分布阶时间分数算子的二维分数电缆模型并进行误差分析","authors":"Saeed Kosari, Peng Xu, Jana Shafi, MohammadHossein Derakhshan","doi":"10.1007/s11075-024-01913-w","DOIUrl":null,"url":null,"abstract":"<p>In this article, we study and examine an efficient numerical approach to obtain approximate solutions of the two-dimensional fractional cable model involving the time-fractional operator of distributed order. A hybrid numerical approach is used to approximate the proposed fractional model. For approximating the integral part of the distributed order including Caputo fractional derivative, the combination of Gauss quadrature rule and finite difference are used. As well as, for the integral part of the distributed order including Riemann Liouville fractional derivatives, from the mid-point quadrature rule and shifted Grünwald estimation are applied. Also, to approximate the proposed model in the space direction, the Legendre spectral numerical approach is used in order to calculate the full-discrete numerical approach. In this work, error analysis and convergence are studied. In the end, to show the effectiveness of the proposed approach, two numerical examples are stated and checked.</p>","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An efficient hybrid numerical approach for solving two-dimensional fractional cable model involving time-fractional operator of distributed order with error analysis\",\"authors\":\"Saeed Kosari, Peng Xu, Jana Shafi, MohammadHossein Derakhshan\",\"doi\":\"10.1007/s11075-024-01913-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>In this article, we study and examine an efficient numerical approach to obtain approximate solutions of the two-dimensional fractional cable model involving the time-fractional operator of distributed order. A hybrid numerical approach is used to approximate the proposed fractional model. For approximating the integral part of the distributed order including Caputo fractional derivative, the combination of Gauss quadrature rule and finite difference are used. As well as, for the integral part of the distributed order including Riemann Liouville fractional derivatives, from the mid-point quadrature rule and shifted Grünwald estimation are applied. Also, to approximate the proposed model in the space direction, the Legendre spectral numerical approach is used in order to calculate the full-discrete numerical approach. In this work, error analysis and convergence are studied. In the end, to show the effectiveness of the proposed approach, two numerical examples are stated and checked.</p>\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-08-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s11075-024-01913-w\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s11075-024-01913-w","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
An efficient hybrid numerical approach for solving two-dimensional fractional cable model involving time-fractional operator of distributed order with error analysis
In this article, we study and examine an efficient numerical approach to obtain approximate solutions of the two-dimensional fractional cable model involving the time-fractional operator of distributed order. A hybrid numerical approach is used to approximate the proposed fractional model. For approximating the integral part of the distributed order including Caputo fractional derivative, the combination of Gauss quadrature rule and finite difference are used. As well as, for the integral part of the distributed order including Riemann Liouville fractional derivatives, from the mid-point quadrature rule and shifted Grünwald estimation are applied. Also, to approximate the proposed model in the space direction, the Legendre spectral numerical approach is used in order to calculate the full-discrete numerical approach. In this work, error analysis and convergence are studied. In the end, to show the effectiveness of the proposed approach, two numerical examples are stated and checked.
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.